Nonlinear Networked Systems and Control Nonlinear Networked Systems and Control
Communications and Control Engineering

Nonlinear Networked Systems and Control

    • $149.99
    • $149.99

Publisher Description

This book is an integrated treatment of its selected research in nonlinear networked systems and control. It progresses from stabilization and regulation to synchronization, providing a systematic approach connecting work in the field. It covers essential control problems methodically, emphasizing problem formulation, techniques, and their interrelationships. Starting with fundamental concepts, the book builds a solid understanding before delving into advanced research areas, facilitating learning and preparing readers for real-world challenges in robotics, automated vehicles, smart grids, and neural networks.

This book balances technical accuracy, difficulty, and depth, to make complex theories accessible. The book supports a rigorous theoretical presentation of control design methods with numerous examples. It addresses cutting-edge research topics and prepares readers for advanced studies. By emphasizing both theoretical foundations and practical relevance, it equips readers to engage critically with current research and, further, to develop their own innovations in nonlinear networks and their control.

Graduate students in engineering and applied mathematics and practitioners and academic theorists in electrical, aerospace, mechanical, and chemical engineering will find this book a valuable reference.

GENRE
Science & Nature
RELEASED
2025
August 19
LANGUAGE
EN
English
LENGTH
397
Pages
PUBLISHER
Springer Nature Switzerland
SELLER
Springer Nature B.V.
SIZE
58.3
MB
Intelligent Robotics and Applications Intelligent Robotics and Applications
2018
Intelligent Robotics and Applications Intelligent Robotics and Applications
2018
Regularized System Identification Regularized System Identification
2022
Digital Control Systems Digital Control Systems
2007
Cooperative Control Design Cooperative Control Design
2011
Reinforcement Learning for Optimal Feedback Control Reinforcement Learning for Optimal Feedback Control
2018
Subspace Methods for System Identification Subspace Methods for System Identification
2006
Comparison Methods in Control Comparison Methods in Control
2025